Literature DB >> 8013431

Cell proliferation and carcinogenesis models: general principles with illustrations from the rodent liver system.

S H Moolgavkar1.   

Abstract

Rates of cell proliferation, cell death, and cell differentiation affect the risk of cancer profoundly. An increase in cell proliferation rates leads to an increase in mutation rates per unit of time, which, in turn, leads to an increase in the risk of cancer. An increase in cell division rates relative to death or differentiation rates may lead to an increase in the population of critical target cells, which, again, leads to an increase in cancer risk. These fundamental principles are well illustrated by the rodent liver model for carcinogenesis. In this paper I briefly discuss some of the consequences of incorporating cell proliferation kinetics into quantitative models of cancer risk assessment. Consideration of cell kinetics can shed light on apparently paradoxical observations, such as the observation that the administration of two different promoters may lead to the same volume fraction in the rodent liver, with one promoter giving rise to a large number of small foci and the other to a small number of large foci. Another observation that can be illuminated by a consideration of cellular proliferation kinetics is the phenomenon of the inverse dose-rate effect. It has been observed with exposure to high LET radiation and to certain chemicals that fractionation of a given total dose of the agent leads to an increased life-time probability of tumor. A biological explanation of this finding can be given in terms of the effect of the agent on cell proliferation kinetics.

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Year:  1993        PMID: 8013431      PMCID: PMC1519428          DOI: 10.1289/ehp.93101s591

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  10 in total

Review 1.  Two-event model for carcinogenesis: biological, mathematical, and statistical considerations.

Authors:  S H Moolgavkar; G Luebeck
Journal:  Risk Anal       Date:  1990-06       Impact factor: 4.000

2.  A stochastic two-stage model for cancer risk assessment. II. The number and size of premalignant clones.

Authors:  A Dewanji; D J Venzon; S H Moolgavkar
Journal:  Risk Anal       Date:  1989-06       Impact factor: 4.000

3.  Effects of polychlorinated biphenyls in rat liver: quantitative analysis of enzyme-altered foci.

Authors:  E G Luebeck; S H Moolgavkar; A Buchmann; M Schwarz
Journal:  Toxicol Appl Pharmacol       Date:  1991-12       Impact factor: 4.219

Review 4.  Cell proliferation in carcinogenesis.

Authors:  S M Cohen; L B Ellwein
Journal:  Science       Date:  1990-08-31       Impact factor: 47.728

5.  Bcl-2 is an inner mitochondrial membrane protein that blocks programmed cell death.

Authors:  D Hockenbery; G Nuñez; C Milliman; R D Schreiber; S J Korsmeyer
Journal:  Nature       Date:  1990-11-22       Impact factor: 49.962

6.  A two-mutation model for radon-induced lung tumors in rats.

Authors:  S H Moolgavkar; F T Cross; G Luebeck; G E Dagle
Journal:  Radiat Res       Date:  1990-01       Impact factor: 2.841

7.  Transient induction of single GST-P positive hepatocytes by DEN.

Authors:  K Satoh; I Hatayama; N Tateoka; K Tamai; T Shimizu; M Tatematsu; N Ito; K Sato
Journal:  Carcinogenesis       Date:  1989-11       Impact factor: 4.944

8.  Quantitative analysis of enzyme-altered foci in rat hepatocarcinogenesis experiments--I. Single agent regimen.

Authors:  S H Moolgavkar; E G Luebeck; M de Gunst; R E Port; M Schwarz
Journal:  Carcinogenesis       Date:  1990-08       Impact factor: 4.944

9.  Stochastic analysis of intermediate lesions in carcinogenesis experiments.

Authors:  E G Luebeck; S H Moolgavkar
Journal:  Risk Anal       Date:  1991-03       Impact factor: 4.000

10.  Mutation and cancer: a model for human carcinogenesis.

Authors:  S H Moolgavkar; A G Knudson
Journal:  J Natl Cancer Inst       Date:  1981-06       Impact factor: 13.506

  10 in total
  3 in total

1.  Pi-class glutathione-S-transferase-positive hepatocytes in aging B6C3F1 mice undergo apoptosis induced by dietary restriction.

Authors:  L Muskhelishvili; A Turturro; R W Hart; S J James
Journal:  Am J Pathol       Date:  1996-11       Impact factor: 4.307

2.  Age-related changes in the intrinsic rate of apoptosis in livers of diet-restricted and ad libitum-fed B6C3F1 mice.

Authors:  L Muskhelishvili; R W Hart; A Turturro; S J James
Journal:  Am J Pathol       Date:  1995-07       Impact factor: 4.307

Review 3.  Cell proliferation and chemical carcinogenesis: symposium overview.

Authors:  R L Melnick; J Huff; J C Barrett; R R Maronpot; G Lucier; C J Portier
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

  3 in total

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